Catatan seorang pelajar yang tertidur…

Speed/rate ()
with as good information transfer, as error and is transfer time

Bits per transfer ()
with as the number which shows how many kinds of information you can transfer, as the accuracy, which means the number of good information () divided by the total information

Accuracy ()

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First Example:

I am learning how to dance. The basic steps are just go to left and right. The dance instructor will tell “left” and “right”.
One example is “left, left, right, left, right, right, left, right” That are first eight step of line dance.

In this case, the information type is just LEFT and RIGHT.

In 15 minutes, the instructor has just taught me a dance routine. There was 100 steps. Fiuh, I am sweating. Because I am a beginner, I made 60 mistakes and 40 good dance. minutes

The Accuracy () percent

The learning speed ()

The bits per learning () bits per learning

The information transfer rate
So I am learning how to dance with a rate of 0.2 bits per minute.

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Second Example:

Now, I learn how to dance Poco-poco. This line dance comes from North Sulawesi in Indonesia.
The basic steps are

Well, in a brain-computer interface experiment, a human subject has to do a task containing commands: LEFT, RIGHT, UP, DOWN. So . The time , how many successful tasks and how many mistakes are measured. In the end, you can calculate the information transfer rate (ITR). More of this example can be read in my master thesis (here: wordpress, blogspot, scribd).

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Well, I am still looking for books about this bits per transfer equation. It has something to do with information entropy.

Bits per transfer ()

From wikipedia, the binary entropy function ():
with as a probability in a Bernoulli process, containing only 2 states, for example success-failure, yes-no, true-false, on-off, two-side of tossing coin.

From wikipedia, the Shannon entropy function ():
with as a probability mass function of a discrete random variable with a possible values ,
and as the base or the possible states of (in a binary or Bernoulli process b = 2)
Entropy is a measure of uncertainty associated to random variable. Shannon entropy quantifies expected value of information contained in a message. In binary process, it is quantified in bits.

About

My name is Ignatius Sapto Condro Atmawan Bisawarna (iscab). I am writing on this blog because WordPress supports LaTeX better than Blogspot. LaTeX is good for mathematical formulas. This blog will be used for many scientific equations.